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A VARIABLE STAR CENSUS IN A PERSEUS FIELD

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Published 2011 September 8 © 2011. The American Astronomical Society. All rights reserved.
, , Citation T. Pasternacki et al 2011 AJ 142 114 DOI 10.1088/0004-6256/142/4/114

1538-3881/142/4/114

ABSTRACT

The Berlin Exoplanet Search Telescope is a small-aperture, wide-field telescope dedicated to time-series photometric observations. During an initial commissioning phase at the Thüringer Landessternwarte Tautenburg, Germany, and subsequent operations at the Observatoire de Haute-Provence, France, a 10 deg2 circumpolar field close to the galactic plane centered at (α, δ) = (02h39m23s, + 52°01'46'') (J2000.0) was observed between 2001 August and 2006 December during 52 nights. From the 32129 stars observed, a subsample of 145 stars with clear stellar variability was detected out of which 125 are newly identified variable objects. For five bright objects, the system parameters were derived by modeling the light curve.

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1. INTRODUCTION

The Berlin Exoplanet Search Telescope (BEST) is a small-aperture, wide-field telescope dedicated to time-series photometric observations. At present BEST is located at the Observatoire de Haute-Provence (OHP), France and is remotely controlled from Berlin (Rauer et al. 2004, 2010). From 2001 to 2003 BEST was located at the Thüringer Landessternwarte (TLS), Germany, for a commission phase. Primarily built up to provide ground-based support to the CoRoT space mission (Baglin et al. 2006), BEST offers the great possibility for detection and examination of new variable stars due to its high-precision stellar photometry.

Based on photometric observations of eclipsing binaries, constraints can be set on their orbital inclination and relative radii. Together with radial velocity measurements it is possible to determine absolute system parameters. Only with this knowledge will details of the structure and evolution of the observed system become available.

The present paper describes the observations of a selected target field located in Perseus. Observations were conducted between 2001 and 2003 from the TLS site and between 2005 and 2006 from the OHP site. Previously published results based on BEST observations in support of the CoRoT space mission can be found in Karoff et al. (2007), Kabath et al. (2007, 2008), and Rauer et al. (2010).

2. TELESCOPE AND OBSERVATIONS

BEST is an f/2.7 Cassegrain telescope with an aperture of 19.5 cm and is equipped with an air-cooled 2048 × 2048 AP-10 CCD camera. The field of view has a size of 3fdg1 × 3fdg1 and the resulting pixel scale is 5farcs5 pixel−1. All observations are obtained in white light leading to a bandpass limited by the quantum efficiency of the detector, which peaks in the red. A more detailed description of the system can be found in Rauer et al. (2004, 2010).

This paper deals with the variable star census in a target field located in the constellation of Perseus centered on the coordinates:

The target field was observed with BEST from the TLS site between 2001 August 15 and 2003 March 13 during 25 nights for a total of 70 hr. After the relocation of BEST to OHP in 2004 the same field was observed between 2005 November 7 and 2006 December 20 during 27 nights for a total of 87 hr.

The observational sequence consisted of an equal number of images with 40, 120, and 240 s exposure times, followed by a bias and dark image after each second run. Additionally, flat and bias images were acquired at the beginning of the night. Here we present only data with 240 s exposure times, corresponding to 1036 frames in total: 566 from TLS and 473 from OHP. From the total data set we were able to detect and obtain light curves for around 32,129 stars within a magnitude range between 11 and 17 mag. The data set is available to the scientific community upon request.9

3. DATA PROCESSING

3.1. Reduction Pipeline

The acquired data are processed with an automated pipeline combining experience from earlier reductions within the BEST project (Kabath et al. 2007; Karoff et al. 2007; Kabath et al. 2008, 2009b, 2009a; Rauer et al. 2010).

The first step comprises bias, dark, and flat-field correction for every frame. In order to achieve high-precision photometry, we use image subtraction (Alard 2000) to detect brightness variations close to the noise limit. After shifting every frame to a common image coordinate system, a set of 10 frames with the best photometric quality is combined to a reference image. Thereafter, the reference image is transformed into every scientific image by convolution with a space-varying kernel. Then, the scientific images are subtracted from the fitted reference image. Following these steps the resulting frames contain information about brightness variations only. We are now able to perform relative photometry on reference and scientific images and have already accounted for the differential extinction.

A simple unit-weighted aperture photometry is applied to the reference frame and to the subtracted frames in order to determine the brightness variation as a function of time. The aperture radius is chosen by checking the FWHM of stars at the bright and faint ends of the magnitude range. A value of 5 pixels was chosen.

In order to account for night-to-night variations in weather conditions and atmospheric transparency, a zero offset correction is done by calculating and comparing the averaged star brightness in every frame for the 500 stars with lowest standard deviation. Then, the SysRem algorithm (Tamuz et al. 2005) was used in order to further reduce systematic effects.

For the purpose of astrometric calibration, the positions of the detected stars are matched and transformed into the celestial coordinates of the USNO-A2.0 catalog (Monet et al. 1998) with the help of the routines GRMATCH and GRTRANS (Pál & Bakos 2006). Finally, the instrumental magnitudes are corrected to the absolute magnitude system of the stars in the USNO-A2.0 catalog. This is done by adding an averaged magnitude offset of bright stars in the stellar catalog and the data set. Since we are primarily interested in differential photometry in order to detect stellar variability, a full calibration to a standard photometric system has not been performed on the data set.

3.2. Photometric Quality

Bad weather conditions and systematic offsets between different nights can affect the photometric accuracy of the BEST system. To assess the photometric quality in single nights, the standard deviation (σi) is calculated for the light curves of every star i. We found 22 out of 52 nights in which more than 2000 stellar light curves have a σi less than 1% in the magnitude range between 10.5 and 13 mag. These nights are defined as good photometric nights. The number of stars with σ < 1% of the whole campaign is around 600.

In Figure 1, the standard deviations σi of the light curves are plotted against the stellar magnitude for the whole data set of 52 nights. Also marked are the known and newly detected variable stars presented in this paper. A comparison between both groups shows that the present survey goes deeper in magnitude than the previous ones. The known variables are more dominant in the bright regime with large σi-values, whereas the newly detected variables are homogeneously distributed in magnitude and σi.

Figure 1.

Figure 1. Standard deviations σi vs. magnitude for the whole data set of 52 nights. Known variables are marked with blue crosses and new detections are marked with a red dot.

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3.3. Detection

For the identification of potential stellar variability, we use variability index J introduced by Stetson (1996) with modified weighting factors according to Zhang et al. (2003). The distribution of the calculated J indices versus magnitude is shown in Figure 2. Based on the experience acquired in the analysis of previous fields characterized with BEST a limiting value of J > 0.1 is chosen to mark potentially variable stars. From the total number of detected stars, this limit singles out around 13,000 stars which were subsequently examined for periodic variability using the Analysis-of-Variance (AoV) algorithm (Schwarzenberg-Czerny 1996). Due to the size of the data set at hand, we limited our search to periodic signals between 0.1 and 25.0 days. The light-curve variations of the objects found in this process are then inspected visually to identify periodic variable stars. The result of this selection will be discussed in the following section.

Figure 2.

Figure 2. Distribution of Stetson's variability index J vs. magnitude shown for all detected stars in the data set. Red dots denote newly detected variable stars with BEST while blue crosses display previously known variable stars. The dashed line marks the lower limit of J = 0.1 considered for detections.

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In particular artificial periods caused by the diurnal cycle lead to many false alarm periods but with no significant presence of stellar variability. Therefore, stars with such periods are excluded in the process if no clear and intrinsic variability can be found by visual inspection.

4. RESULTS

The variable star census in a Perseus target field yielded 145 light curves showing clear variable signals, periodic or aperiodic. Of these, 125 are newly detected variable objects and 20 are previously known. For newly detected variable stars, we used a General Catalog of Variable Stars (GCVS) based reduced classification mainly separating intrinsic and extrinsic variable stars (Samus et al. 2009).

Intrinsic variables are stars whose variability is caused by changing internal stellar properties leading to a change in luminosity, e.g., pulsation. We used the subgroups δ Scuti (DSCT), γ Doradus (GDOR), δ Cephei (DCEP), and RR Lyrae (RRLYR) stars.

Extrinsic variables show apparent changes in brightness due to external processes like eclipses or rotation. Here we use eclipsing binary-type stars on the one hand, divided into Algol- (EA), β- (EB), and W Ursae Majoris-type (EW), and the rotating variables on the other hand, divided into ellipsoidal variables (ELL) and the strong magnetic variables α Canum Venaticorum (ACV). Remaining objects for which no assignment is possible are classified as miscellaneous (MISC).

An overview of the total number for every subtype, split into new and known detections, can be found in Table 1. The percentage of variable stars in the whole data set of 32,129 stars amounts to 0.45% and is of the same order as in other photometric surveys, e.g., ASAS 3 with 0.34% or OGLE II with 0.70% (Eyer & Mowlavi 2008).

Table 1. Statistical Overview for All Detected Variable Stars

Observed Stars 32129 
Stars with J > 0.1 13, 296
Intrinsic  
DCEP 1 (1)
DSCT 31 (30)
RRLYR 2 (2)
Extrinsic  
EA 24 (21)
EB 6 (6)
EW 45 (42)
ACV 5 (5)
ELL 5 (5)
SP 1 (1)
Other 25 (12)
Total  
Variable stars 145 (125 )
Previously known 20

Notes. Values in parentheses state the number of new detections.

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The catalog of all detected variable stars in the data set is provided in Table 3. It shows the coordinates, R magnitude, period, epoch, amplitude, and variability type for every detected variable object. Already known objects are marked with flag "k" and crowded stars are marked with flag "c." Crowded in this sense means that at least two different stars in Table 3 show exactly the same period (e.g., F2_03278 and F2_03319). These objects are below the angular resolution limit of our CCD camera and have overlapping point-spread functions. The real source of variability for those objects cannot be determined from our data set.

In addition, the reader should be aware of the contamination problem when using the measured amplitudes in Table 3. These are real, if no contaminating objects lie within a radius of 27farcs5 (the pixel scale is 5'' pixel−1 and the photometric aperture has a radius of 5 pixels). Otherwise, if a star is contaminated, the measured amplitude is underestimated. To get rid of this effect, the respective system has to be measured with another telescope providing higher angular resolution.

Figure 3 shows the relation between amplitude, period, and variability type. The period range reaches from 0.07 to 10 days, whereas the amplitude range starts at 0.015 mag and ends at 1 mag. Note that the shorter the period, the smaller the detected amplitudes because of the increase of the signal-to-noise ratio.

Figure 3.

Figure 3. Amplitudes of different kinds of variable stars in the observed field as a function of period.

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In the following paragraphs, we discuss the types of the variable stars detected in our data set. Already known variable stars are discussed in Section 4.1 and newly detected extrinsic and intrinsic variable stars in Sections 4.2 and 4.3, respectively.

We further investigated the most interesting and promising objects among the binary detections. Thus, if the whole phase range of an object is covered and if there are enough data points during the eclipses, we are able to derive system parameters for eclipsing binaries. For these cases we modeled the light curves with a binary star light-curve modeling code (Csizmadia et al. 2009), which assumes Roche geometry and provides results comparable with the model of Wilson & Devinney (1971). The solutions from this model are optimized via a genetic algorithm as described in Geem et al. (2001).

Among the modeled EW-type variables, we further distinguish between A-subtype and W-subtype systems following Binnendijk (1965) and Csizmadia & Klagyivik (2004). In an A-subtype system, the hotter star is the more massive component and it is vice versa for members of a W-subtype system.

4.1. Known Variables

The stars observed with BEST are cross-checked with the variable star index10 (VSX) of the American Association of Variable Star Observers and with the GCVS (Samus et al. 2009). Within the observed target field, in total 26 previously known variable stars could be found according to these catalogs. For 20 of these stars we could confirm the previously detected stellar variability. The remaining six cases were too bright to be observed with BEST and consequently were saturated in the acquired data set.

In the variable star catalog (Table 3) all previously known objects are marked with flag "k." For the following 12 long periodic or irregular known variables we are only able to confirm the variability: EF Per, EE Per, EH Per, V0670 Per, V0726 Per, V0727, NSVS J0243375+530503, NSVS J0236346+524133, SAVS 023628+521630, NSVS J0242125+513436, NSV 935, and NSVS J0235501+533958. Confirmation of previously assigned stellar variability classes was only possible for short periodic objects due to the BEST duty cycle. Hereafter we discuss the remaining eight cases of previously known and short periodic variables individually.

4.1.1. DV Per

The variability of DV Persei was discovered by Hoffmeister (1944). He reported an orbital period of P = 0.807137 days, an amplitude of Apri = 0.5 mag for the primary, and Asec = 0.1 mag for the secondary minima. Minima observations were reported by Krajci (2006) and Dvorak (2006), too.

The automatic detection of periods through AoV during data reduction leads to a period value of 0.80714 days for DV Per, which has the identifier F2_02633 in our data set. This is in good agreement with the period from Hoffmeister (1944), but there is no sign of a secondary occultation (Figure 4). The duration of an eclipse with this period would be 24% of the total orbital period. This is only possible if both objects are quite close to each other. Usually, the light curves of such scenarios show ellipsoidal variations between the eclipse and occultation events, which are not present in our measured light curve. The modeling consequently inducts the physically not plausible solution of a mass less, dark secondary object which has the same size as the primary object and is almost attached. Due to these facts we decided to double the period of this system to P = 1.61427 days leading to a light curve with two separated minima of equal depth. This indicates the light curve of a detached binary system.

Figure 4.

Figure 4. Light curves of the modeled binary systems F2_2633 (DV Per), F2_04262 (NSVS 1926064), F2_10496 (NSVS 1913469), F2_10966, and F2_20731 (NSVS 4052900). Points represent the measurements and the red solid line denotes the fit of the light-curve solutions.

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In order to model the light curve, we set the period as 1.61427 days and arbitrarily fixed the mass ratio at q = 1.0, which is reasonable since the two nearly equal minima suggest similar stars. Adjusted parameters were the fill-out factors of the two objects, the inclination, phase-shift, and the temperature of the secondary. With the help of the Two Micron All Sky Survey (2MASS) colors J and K we estimated the temperature of the primary star to be 6300 K and kept it fixed at this value. Remaining parameters were fixed according to Table 2. The solution found suggests a physically plausible detached configuration (Figure 4 and Table 2).

Table 2. Characteristics of the Modeled Binary Systems

Catalog ID DV Per NSVS 1926064 NSVS 1913469 - NSVS 4052900
BEST ID F2_02633 F2_04262 F2_10496 F2_10966 F2_20731
Measured parameters          
Magnitude RB (mag) 13.68 11.50 11.25 12.34 13.21
Period P (d) 1.61427 0.40747 0.42166 0.50111 0.35609
Epoch T0 (HJD-2 452 195) 0.80714 0.56177 0.61401 0.57373 0.76611
Amplitude A (mag) 0.17 0.40 0.19 0.12 0.40
Color index JK 0.255 0.377 0.345 0.254 0.477
System parameters          
Grav. darkening g1, g2 0.32 (fixed) 0.32 (fixed) 0.32 (fixed) 1.0 (fixed) 0.32 (fixed)
Bol. limb dark. (pri, sec) 0.3 (fixed) 0.3 (fixed) 0.3 (fixed) 0.3 (fixed) 0.3 (fixed)
Albedo A1, A2 1.0 (fixed) 0.50 (fixed) 0.50 (fixed) 1.0 (fixed) 0.50 (fixed)
Mass ratio q 1.0 (fixed) 0.244 ± 0.007 0.25 ± 0.02 0.27 ± 0.05 0.23 ± 0.01
Temperature T1 (K) 6310 ± 120 5130 ± 180 5630 ± 180 6660 ± 380 5764 ± 481
Temperature T2 (K) 6300 (fixed) 5800 (fixed) 5900 (fixed) 6400 5500 (fixed)
Inclination i (°) 85.8 ± 1.2 88.3 ± 5.1 75.14 ± 0.09 50.50 ± 1.54 85.3 ± 2.2
Fill-out factor f1 −4.906 ± 0.092 f1 = f2 f1 = f2 f1 = f2 f1 = f2
Fill-out factor f2 −4.072 ± 0.098 0.627 ± 0.020 0.036 ± 0.018 0.378 ± 0.037 0.123 ± 0.037
Limb darkening (pri) 0.6 (fixed) 0.01 ± 0.06 0.25 ± 0.09 0.42 ± 0.70 0.80 ± 0.06
Limb darkening (sec) 0.6 (fixed) 0.53 ± 0.05 0.49 ± 0.17 0.49 ± 0.20 0.50 ± 0.11
Surface potential Ωpri 6.4025 7.6460 7.8516 7.2488 f1 = f2
Surface potential Ωsec 5.9515 7.6460 7.8516 7.2488 8.82204
Stellar fractional radii          
Primary          
R1 (pole) 0.1845  ⋅⋅⋅ 0.4709 0.4775  ⋅⋅⋅
R1 (side) 0.1857 0.5421 0.5089 0.5190 0.5209
R1 (back) 0.1873 0.5740 0.5334 0.5485 0.5457
R1 (point) 0.1878  ⋅⋅⋅  ⋅⋅⋅  ⋅⋅⋅  ⋅⋅⋅
Secondary          
R2 (pole) 0.2012 0.2713 0.2500 0.2697  ⋅⋅⋅
R2 (side) 0.2028 0.2863 0.2604 0.2830 0.2581
R2 (back) 0.2051 0.3497 0.2941 0.3306 0.2945
R2 (point) 0.2059  ⋅⋅⋅  ⋅⋅⋅  ⋅⋅⋅ 0.4799

Notes. The fill-out factors are calculated by $f=\frac{\Omega _{L1}-\Omega }{\Omega _{L2}-\Omega _{L1}}$, where L1 and L2 are the Lagrange points, and Ω is the dimensionless surface potential; see, e.g., Kopal (1978).

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A detailed spectroscopic study to measure the true mass ratio as well as multicolor photometry is highly desirable for a further, detailed study of this system. That combined with radial velocity measurements will clearly decide between the old and newly proposed period values. Furthermore, this detached system with two nearly equal stars in a short period orbit is suitable for testing stellar evolutionary models.

4.1.2. EN Per

EN Per (F2_14415 in our data set) is a moderately faint (V = 13.4 mag) (Samus et al. 2009) Algol-type eclipsing binary with a relatively long orbital period of 10.24665 days, making it a potential candidate for an eccentric eclipsing binary. Such cases are suitable for testing the theory of general relativity and stellar evolutionary theories, e.g., Claret & Gimenez (2010). We observed only the beginning of the primary eclipse once and the part of the ascending branch of the primary eclipse another time (see Figure 5, object F2_14415). The center of the primary eclipse is not covered by our observations and thus we are not able to confirm the total amplitude of 0.9 mag given in VSX. No full secondary eclipse was observed by us, but the points at phase 0.465 seem to be part of the secondary eclipse. If this is confirmed by future observations it is an eccentric system. An out-of-eclipse variation with a peak-to-peak amplitude of 0.1 mag is present and seems to be periodic. However, we are not able to characterize it from our data set.

Figure 5.

Figure 5.

Phase folded light curves of the detected variable stars. The other light curves are available in the electronic edition. (The complete figure set (145 images) is available in the online journal.)

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4.1.3. NSVS 1926064

The variability of the EW-type eclipsing binary star F2_04262, also known as variable star NSVS 1926064 (Gettel et al. 2006), is now confirmed. We find an identical orbital period of 0.40747 days (Figure 4). The maximum brightness reaches 11.5 mag. Fortunately, the system shows total eclipses making it suitable for modeling since total eclipses with i ≈ 90° strongly reduce the degeneracy of possible light-curve solutions (Ruciński 1973).

In order to find a light-curve solution with the used model (Csizmadia et al. 2009), we fix the temperature of the primary at T1 = 6000 K based on the period–color relation of Wang (1994). Table 2 shows an overview of the free and fixed parameters together with the results. Figure 4 illustrates the light curve plus the determined fit. The system has a high inclination of (88° ± 5)°, a moderate third light of 13% coming from a non-resolved star, and a common mass ratio of q = 4.11 ± 0.11. The system has a very high fill-out factor of f = 0.627, showing that it is close to the phase when the two stars will merge, representing a probable late stage of their evolution.

The more massive component is the cooler one and is thus classified as a W-subtype system. Therefore it serves as an important target to understand the evolution and structure of low-mass ratio contact binaries. Due to moderate brightness, F2_04262 is a suitable target for future investigations, e.g., radial velocity measurements, spectral-type determination, period investigation, and stellar spot studies.

4.1.4. NSVS 1913469

The object NSVS 1913469 (F2_10496) is declared as EW in VSX with an amplitude of 0.31 mag in R1 and a period of 0.42167068 days. We confirm the variability type and found a comparable period of 0.42166 days but a smaller amplitude of 0.19 mag (Figure 4). The light curve shows the O'Connell effect, i.e., the secondary maximum is a bit higher than the primary. In well-studied cases it was found that EW-type variables show cycle-to-cycle variations due to variable spot sizes, temperatures, and distribution (Csizmadia et al. 2004). For further investigation of this effect multicolor photometry is needed. The system belongs to the A-subtype class of contact binaries.

There is no clear sign of a total eclipse, suggesting that the object is probably a medium-inclination system. Via light-curve modeling we found an inclination of ∼75°. It is a low-degree-of-contact system with a small fill-out factor of f = 0.036. The remarkable amount of third light is L3/(L1 + L2 + L3) ≈ 0.48, which may originate from a nearby, not fully resolved optical companion. This high value of the third light squeezes the amplitude to the observed value and can explain the large difference in the observed amplitudes. Similarly high third light values are common in other EW binaries, e.g., with a record of L3/(L1 + L2 + L3) ≈ 0.93 in V758 Cen (Lipari & Sistero 1985; Csizmadia & Klagyivik 2004). The results for NSVS 1913469 are shown in Table 2 and in Figure 4.

4.1.5. NSVS 4052900

This EW-type eclipsing binary star F2_20731 belongs to the A subtype. It has a low fill-out factor of 12.3% and a significant third light of L3/(L1 + L2) = 23%. This light probably comes from a nearby companion star, which is not fully resolved with our pixel scale. The light curve shows total primary eclipse, which is confirmed by the light-curve modeling result (i ≈ 85°). Although its high inclination makes it interesting for further studies, it is moderately faint with 13.2 mag at maximum brightness. The modeled light curve can be found in Figure 4 and the parameters are listed in Table 2.

The system was marked as a variable star in VSX and is listed under the name NSVS 4052900. We confirm the variability type EW and the period of 0.35609 days. However, the measured amplitude is 0.4 mag and differs by a factor of 2.3. The reason can be different third light due to different pixel scales of the telescopes used. Photometric follow-up with higher angular resolution is needed in order to determine the amplitude with higher precision.

4.1.6. Remaining Known Variables

The VSX denotes for object NSVS 1910955 (F2_13911) a period of 1.73170386 days and an amplitude of 0.81 mag in R1 for this EA-type variable star. The period and type are confirmed, but the determined amplitude differs by a factor of 4.3, since we found an amplitude of 0.19 mag.

VSX denotes variability type DSCT and a period of 0.1441 days for the object VSX J024717.4+504506 (F2_24176). The amplitude is not listed there. We can confirm the variability type DSCT. Our determined period is larger (P = 0.14908 days) and we measure an amplitude of 0.08 mag.

The object VSX J023706.8+503557 (F2_25347) is declared as a DSCT with a 0.0865 day period. We found the same variability-type DSCT but a different period of 0.09034 days.

4.2. Newly Detected Extrinsic Variables

The majority of the newly detected variable stars are eclipsing binaries with in total 69 detected objects. The largest subgroup of the binaries are the EW-type stars with 42 new detections. Stars of the EA sub-type amount to 21 new detections and the smallest subgroup are the semi-detached binaries of sub-type EB with six representatives.

We found 11 newly detected rotating variable stars, split into 5 ACV type, 5 ELL type, and 1 spotted variable star. Details of these objects can be found in Table 3 and Figure 5.

Table 3. Variable Stars Detected in the Observed BEST Field with Coordinates, Magnitude, Period, Epoch, Amplitude, and Variability Type

BEST ID Flag 2MASS ID α(J2000.0) δ(J2000.0) RB T0 P A Type Other Names
          (mag) (rJD) (d) (mag)    
F2_00026 c 02304181+5329285 02h30m42fs0 53°29'28farcs9 14.40 2196.541 0.63560 ± 0.00003 0.25 ± 0.09 EA  
F2_00038 c 02304450+5329209 02h30m44fs5 53°29'20farcs5 14.63 2196.538 0.63560 ± 0.00002 0.5 ± 0.1 EA  
F2_00080   02294352+5328354 02h29m43fs5 53°28'35farcs4 10.93 2280.534 5.878 ± 0.004 0.1 ± 0.2 ACV  
F2_00254   02340421+5328480 02h34m04fs2 53°28'47farcs8 13.48 2197.066 2.1591 ± 0.0002 0.19 ± 0.05 EA  
F2_00339 c 02432992+5329386 02h43m30fs0 53°29'39farcs5 13.97 2196.736 0.377829 ± 0.000008 0.17 ± 0.05 EW  
F2_00359 c 02433226+5329253 02h43m32fs3 53°29'26farcs3 14.02 2196.735 0.377829 ± 0.000005 0.31 ± 0.05 EW  
F2_01065   02364668+5322516 02h36m46fs6 53°22'53farcs1 12.70 2197.098 7.061 ± 0.003 0.11 ± 0.03 EA  
F2_01655 c 02450572+5319123 02h45m05fs6 53°19'10farcs9 14.72 2195.597 0.37573 ± 0.00001 0.17 ± 0.06 EW  

Notes. Stars affected by crowding are flagged with c. The flag k denotes previously known objects and their IDs from VSX or GCVS can be found in the last column. The Epoch T0 is given in reduced Julian date [rJD] with respect to T = 2, 450, 000.0. It denotes the first minimum in the light curve.

Only a portion of this table is shown here to demonstrate its form and content. Machine-readable and Virtual Observatory (VO) versions of the full table are available.

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Below, some cases of special interest are discussed in detail. Among these objects, we want to emphasize the eccentric binaries F2_00254 and F2_03278. Eccentric eclipsing binaries are key objects to critically check the stellar structure and evolutionary models via the extremely sensitive "apsidal-motion test" (Böhm-Vitense 1992). Only 18 adequate systems have been available in a recent study (Claret & Gimenez 2010). Discoveries of new eccentric eclipsing binaries, like this present case, help to extend the sample with new possible targets.

4.2.1. F2_00254—An Eccentric Binary

The moderately bright (R = 13.48 mag) object F2_00254 is a newly discovered Algol-type variable with a low amplitude of 0.3 mag. The secondary eclipse is displaced to phase φ = 0.48 indicating an eccentric orbit, although it has a relatively short orbital period for eccentric binaries of 2.16 days. From the displacement of the secondary and the lengths of the eclipses, one can suspect a small eccentricity of 0.03 with an argument of periastron of 36°. A low number of measurements during the eclipses makes it an unsuitable object for light-curve modeling. For further investigation, the system requires spectroscopic and radial velocity observations as well as precise timings.

4.2.2. F2_03278—Another Eccentric Binary

The object F2_03278 stands out due to the large displaced secondary eclipse at φ = 0.36. Despite its relatively short period of 1.85140 days it has a large eccentricity of 0.24 with an argument of periastron of 16°. The total variation does not exceed 0.17 mag. It is a bright object with R = 12.7 mag and is therefore an appropriate target for photometric and spectroscopic follow-up observations.

4.2.3. F2_08747 and F2_08777

One of these two stars is a short-period Algol object. They are separated by 18 arcseconds and due to limits in spatial resolution the light curves are affecting each other. Thus, it is not clear which of these two stars is variable. Further studies with higher angular resolution are needed in order to distinguish between them. We do not carry out a light-curve modeling of this system since our observational data are not complete enough to decide the correct period.

The real variable among these two objects has a considerably short variability period. Eclipses occur every 0.54 days, while most of the Algol-type variables have much larger orbital periods. The duration of the eclipse is 25% of the period, extremely long. This may imply that the orbital period is twice the value published here in reality. If the given period is true, it is a quite important object, because EA-type binaries in this period regime are rare (Paczyński et al. 2006).

4.2.4. F2_10966

This EW-type binary is largely contaminated by a nearby star, not fully resolved by our pixel scale (Figure 4). The third light was found to be large with L3/(L1 + L2) = 0.55. The system has a low inclination of ∼50° and as Ruciński (1973) pointed out the determination of the mass ratio by photometry in the case of low-inclination contact binaries is quite difficult. This fact and the low-quality photometry caused by the nearby disturbing companion make the results uncertain. For instance, the mass ratio can be constrained only to be q = 3.66 ± 0.59. The larger star is the hotter one, so the system belongs to the A-subtype of the contact binaries. Results of the light-curve modeling are given in Table 2 and Figure 4.

4.2.5. F2_12012

The interesting feature of this Algol-type variable is the linearly decreasing brightness between primary and secondary minima, followed by a new increase from secondary to primary. This indicates a relatively strong reflection effect. The system is also slightly eccentric because the secondary is at phase φ = 0.502, which is unusual for such a short period binary (P = 1.25 days).

4.2.6. F2_20412

This object is a high amplitude EA-type star which shows variations of 1.01 mag. Its period of 1.96 days is close to 2 days and possibly explains why this variability could escape from discovery until today despite its large amplitude.

It is conspicuous that the few observations of the primary minimum are not matching each other. This may suggest some period variation, which is a common effect in the semi-detached classical Algol system. The light curve also suggests that there can be out-of-eclipse variations caused either by pulsation or gas streams in the system. The system evidently requires more photometric studies.

4.2.7. F2_21539

The β Lyrae-type eclipsing variable F2_21539 has an orbital period close to 1 day (P ≈ 0.903 days), which is why the second half of its light curve is better sampled than the first one. With only 20% amplitude difference between the primary and secondary it seems to be a low-inclination system. The asymmetric light curve can be caused by stellar spots and/or disks. The system shows considerable light curve shape variations in different periods. EB-type variables often exhibit strong period- and light-curve variations making it unsuitable for light-curve modeling and hence it is not carried out here.

4.3. Newly Detected Intrinsic Variables

The second largest group are the pulsating stars with 39 detected objects, out of which 37 are new detections. The subgroup of DSCT stars is most dominant here with 33 new detections. Remaining objects are one Cepheid and three RR Lyrae-type stars.

The most intriguing member of the intrinsic variables is the object F2_09743, which is a typical mono-periodic δ Scuti-type star. With a short period of 0.18 days, a high amplitude of 0.24 mag, and a brightness of 12.85 mag, this object is a favorable target for future studies. Note that most of the DSCT stars show some light-curve modulations, while this object featured a very stable light curve during the five years of observations between 2001 and 2006.

5. SUMMARY

We observed with BEST a 3fdg1 × 3fdg1 field in the constellation Perseus in 52 nights between 2001 August and 2006 December from the locations of TLS and OHP. In a sample of 32,129 light curves we detected 145 variable objects, out of which 125 are new detections.

Variability of the known variables DV, EF, EN, EE, EH, V670, V726, and V727 Persei is confirmed. We present an updated period value and the first light-curve parameter estimation for DV Per, which seems to be a suitable object for stellar evolutionary studies. The period for EN Per is confirmed. For the remaining six known variables we are just able to confirm their variability. Statements about type, period, and amplitude are not possible due to the poor phase coverage.

Furthermore, the variability of 12 previously known variables is confirmed. For six of them we are able to confirm the type but find slightly different periods and occasionally totally different amplitudes of variation. The remaining six cases are confirmed as clearly variable objects, but we are not able to determine periods for them due to long or semi-periodicity. For four stars with known variability the system parameters were calculated by modeling the light curve for the first time.

Among the 125 new detected variables, 36 new pulsating variables, 69 new eclipsing binaries, and 12 other extrinsic variable stars were found. The percentage of variable objects in the BEST data set is 0.45% and thus comparable to other photometric wide-field surveys.

We thank the Observatoire de Haute-Provence for great support of the BEST survey. Pascal Hedelt acknowledges support from the European Research Council (Starting Grant 209622: E3ARTHs). This publication makes use of data products SIMBAD, 2MASS, and USNO-A2.0 as well as the AAVSO variable star index. We are also grateful to the observers Michael Weiler, Tino Wiese, Susanne Hoffmann, Christopher Carl, and Martin Dentel.

Footnotes

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10.1088/0004-6256/142/4/114